Need help with training cascade classifier
I have annotated all of my positive images and put it into a file called "info.txt", I only want to use my own positive examples and don't want to generate artificial examples.
I have tried using the following command (-num 389, the number 389 is the total positive images that I'm currently having)
opencv_createsamples -vec faces.vec -num 389 -info info.txt -w 24 -h 24
But it returned with an error, saying
https://pastebin.com/ecG1wFfM
saying
Info file name: info.txt
Img file name: (NULL)
Vec file name: fire.vec
BG file name: (NULL)
Num: 389
BG color: 0
BG threshold: 80
Invert: FALSE
Max intensity deviation: 40
Max x angle: 1.1
Max y angle: 1.1
Max z angle: 0.5
Show samples: FALSE
Width: 24
Height: 24
Max Scale: -1
Create training samples from images collection...
OpenCV Error: Assertion failed (ssize.width > 0 && ssize.height > 0) in resize, file /build/opencv-L2vuMj/opencv-3.2.0+dfsg/modules/imgproc/src/imgwarp.cpp, line 3492
terminate called after throwing an instance of 'cv::Exception'
what(): /build/opencv-L2vuMj/opencv-3.2.0+dfsg/modules/imgproc/src/imgwarp.cpp:3492: error: (-215) ssize.width > 0 && ssize.height > 0 in function resize
I have tried searching everywhere but hasn't found a solution yet.
